Startup profile · funding coverage
Tecton funding, valuation and investors
Enterprise feature store for real-time ML data (acquired by Databricks 2025).
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series C
Amount not disclosed · 2022
Latest known valuation
$900M
Series C · 2022
Total disclosed equity funding
Not publicly disclosed
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
acquired
acquired · San Francisco, California, USA
Investors in latest funding
Other: Sequoia , Kleiner Perkins
Overview
Tecton developed an enterprise feature store for real-time machine learning — helping teams define, compute, and serve ML features for fraud detection, personalization, and risk scoring. Founded by creators of Uber's Michelangelo ML platform, Tecton raised from Sequoia and Kleiner Perkins and was last valued at $900 million in 2022. In August 2025, Databricks announced it would acquire Tecton to integrate real-time data serving with Agent Bricks and AI agent workflows. Deal terms were not disclosed; consideration included Databricks private shares.
Why Tecton is interesting
Tecton founders built Uber Michelangelo — Databricks bought the feature store to power Agent Bricks and real-time AI agents after $900M 2022 valuation.
Product & use cases
Tecton's feature store lets ML teams define, share, and serve features for both batch and real-time inference — bridging data engineering and model deployment.
- Real-time fraud detection feature pipelines
- Personalization models requiring low-latency feature serving
- Enterprise ML platforms integrating with Databricks post-acquisition
Key facts
- Acquired by Databricks (Aug 2025) for Agent Bricks integration (Reuters)
- Last private valuation $900M (2022)
- Founded by Uber Michelangelo creators
- ~90 employees at acquisition
Funding history (newest first)
Series C
2022 Valuation: $900MInvestors in our directory
Funds linked from Tecton's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Team pedigree from Uber Michelangelo plus production-grade real-time serving — trusted by Coinbase and joint Databricks customers.
Feature stores became infrastructure table stakes for production ML. Databricks' acquisition consolidates data platform and real-time serving for agentic AI workloads.
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Feast (open source) alternative
OSS feature store; less enterprise support.
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Snowflake Feature Store adjacent
Cloud data platform native features; Tecton also partnered with Snowflake.
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Databricks native features direct
Post-acquisition integration target.
Notable stories
- Databricks and Snowflake both invested in and partnered with Tecton before Databricks acquired it — classic platform consolidation in ML infrastructure (Reuters, Aug 2025).
Industries
FAQs about Tecton
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